Resources Repository
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ArticlePublication 2020Interpreting COVID-19 Test Results: A Bayesian Approach
This article considers the following question with respect to interpreting the results of polymerase chain reaction …
This article considers the following question with respect to interpreting the results of polymerase chain reaction (PCR) assays from nasal and pharyngeal swabs for COVID-19 to inform clinical decision making: "While a positive result in an acutely ill patient is straightforward, how should physicians interpret negative tests in patients with suspected COVID-19 infection?" Using an assumption of near-perfect specificity of PCR assays for COVID-19, the authors acknowledge the uncertainty of test sensitivity. They consider two clinical scenarios…
Probability/Bayes | Test Performance | Infectious Diseases | Health/Medicine | Science/Technology | Global -
ArticlePublication 2020Clinical Decision Making: Using a Diagnostic Test
This article is part of a 6-part series on clinical decision making. The authors use …
This article is part of a 6-part series on clinical decision making. The authors use two clinical examples to review the principles of interpreting diagnostic test results. They outline an approach that can be used to determine how to select and apply tests and their results to the practice of internal medicine. Topics covered in the two case studies include sensitivity and specificity, positive predictive and negative predictive value of tests, and how to estimate…
Probability/Bayes | Test Performance | Clinical Care | Health/Medicine -
ToolInteractive, Teaching Resource 2020RAND Critical Care Surge Response Tool
This Excel-based model allows decisionmakers at all levels (i.e., hospitals, health care systems, states, regions) …
This Excel-based model allows decisionmakers at all levels (i.e., hospitals, health care systems, states, regions) to examine the current critical care capacity in the nation’s hospitals and rapidly explore strategies for increasing capacity to provide care for the sickest COVID-19 patients. The tool was developed by the RAND Corporation in response to the 2020 COVID-19 pandemic. Model input parameters to the Excel spreadsheet include baseline number of beds, critical care doctors and nurses, respiratory therapists,…
Operations Research | Priority Setting/Ethics | Mathematical Models | Infectious Diseases | Health/Medicine | North America | Professional | Policy Translation -
Resource PackPublication, Teaching Resource 2021Resource Pack: Valuing Health and Longevity in BCA
This resource pack, curated by the Center for Health Decision Science, introduces the valuation of …
This resource pack, curated by the Center for Health Decision Science, introduces the valuation of changes in health and longevity in benefit-cost analysis. It is targeted towards advanced students and practitioners who have a basic understanding of the benefit-cost analysis framework, as discussed in the Resource Pack: Introduction to Benefit-Cost Analysis. That pack provides a general overview of the approaches that are explored in more detail here, as well as related guidance documents. This pack…
Benefit-Cost Analysis | Preferences/Values | Policy/Regulation | College | Graduate | Critical Thinking/Analysis | Policy Translation -
Online LearningVideo, Teaching Resource 2020Valuing Statistical Lives: Concepts, Current Practices, and Challenges
Many policies aim to improve longevity, decreasing the risk of death in each year, and …
Many policies aim to improve longevity, decreasing the risk of death in each year, and the value of these risk reductions often dominate the estimated benefits of risk regulations and other policies. This value is often expressed as the value per statistical life (VSL), a term that is widely misunderstood. It is not the value that the analyst, the government, or the individual places on saving an identified life with certainty. Instead, it reflects individuals’…
Benefit-Cost Analysis | Policy/Regulation | Climate/Environment | Health/Medicine | Global -
ArticlePublication 2020Premature Deaths, Statistical Lives, and Years of Life
This article clarifies some misconceptions about mortality risk and economic valuation. The mortality effects of …
This article clarifies some misconceptions about mortality risk and economic valuation. The mortality effects of exposure to environmental hazards such as air pollution are often described by the estimated number of “premature deaths” and the economic value of an exposure reduction as the number of “statistical lives saved” multiplied by the “value per statistical life.” These terms can be misleading because the number of deaths advanced by exposure cannot be determined from mortality data; it…
Benefit-Cost Analysis | Preferences/Values | Health Outcomes | Environmental Health | Policy/Regulation | College | Graduate | Critical Thinking/Analysis -
ArticlePublication 2013Agent-Based Simulation Modelling Approach to ECEA of Health Interventions
This study develops a dynamic agent-based simulation model, the Disease Control Priorities Simulation (DCPSim) model, …
This study develops a dynamic agent-based simulation model, the Disease Control Priorities Simulation (DCPSim) model, to estimate the health and economic benefits of health interventions and policies. Authors examined two different policies that can scale up the availability of drugs for secondary prevention of acute myocardial infarction (AMI) in India: a universal public provision (UPP) that provides a drug for free at public health facilities, and a universal public finance (UPF) that provides a drug…
Dynamic Simulation | Priority Setting/Ethics | Cost-Effectiveness Analysis | Chronic Disease/Risk | Social Determinants | Policy/Regulation | Health/Medicine | Asia & Pacific -
ArticlePublication 2019Modelling Hospital Operations from Paper Registry Data
This article, published in BMJ Global Health, aims to evaluate operations management techniques, which are …
This article, published in BMJ Global Health, aims to evaluate operations management techniques, which are underutilized in the Ethiopian health system. Previous research has outlined the limitations of paper-based patient records, but few studies have examined their potential utility for improving management of hospital operations. The authors use data collected from paper registries in an Ethiopian obstetrics ward at Addis Ababa’s Tikur Anbessa Specialized Hospital, Ethiopia’s largest university hospital, to model the ward’s operations. The…
Operations Research | Mathematical Models | Maternal/Reproductive Health | Health Systems | Health/Medicine | Sub-Saharan Africa -
Resource PackPublication, Teaching Resource 2019Resource Pack: BCA in Low- and Middle-Income Countries
This resource pack, curated by the Center for Health Decision Science, includes methods papers, case …
This resource pack, curated by the Center for Health Decision Science, includes methods papers, case studies, and reference case guidance for conducting benefit-cost analyses in low- and middle-income countries. These resources will aid advanced students and experienced practitioners in preparing these analyses. Investing in global health and development requires making difficult choices about what initiatives to fund and what level of resources to devote to each initiative. Although benefit-cost analysis is a well-established and widely-used…
Benefit-Cost Analysis | Preferences/Values | Priority Setting/Ethics | Decision Analysis | Social Determinants | Policy/Regulation | Economics/Finance | Health/Medicine | Global | Graduate | Doctoral | Professional | Critical Thinking/Analysis